This role pays more than
90%
of similar roles. Most pay
$188,675–$246,150
— the shaded band above.
At the midpoint, this role pays about
$265k
versus about
$217k
for comparable roles.
Based on 240 similar postings.
Employer
About Ramp
Ramp is a corporate spend management platform providing corporate cards, expense management, and accounts payable automation tools to help businesses control spending and operate more efficiently. Industry: Financial Technology & Corporate Spend Management
Ramp currently has
43 open roles
on FindRole.
Listed pay typically runs
$168,000–$297,330
across 41 roles with salary data.
As a Machine Learning Engineer, you will join the machine learning team to lead the future of fraud detection. You will be responsible for building core machine learning models, designing data architectures, and establishing strategic roadmaps to mitigate fraud-related threats while minimizing friction for legitimate users. Your daily work involves applying statistical and machine learning techniques to large datasets to identify patterns of platform abuse and identity theft. You will prototype and productionize models and rules-based systems while collaborating with engineering and data teams to integrate first and third-party data sources. The role requires proficiency in Python, including libraries like NumPy, Pandas, Scikit-learn, and PyTorch, alongside strong SQL skills in Snowflake or Postgres. You will also utilize agentic AI tools for development and analysis within the high-stakes domain of financial fraud prevention.
What does a Machine Learning Engineer earn in New York?
Median $231150 from 51 postings across 15 companies.
Machine Learning
Python
R
Java
TensorFlow
PyTorch
scikit-learn
Distributed Systems
APIs
Data Pipelines
Statistics
Probability Theory
Optimization
Copilot
Claude Code